Lecture

Dynamic Programming: Memoization and Bottom-Up Approach

In course

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Description

This lecture covers dynamic programming concepts such as memoization and the bottom-up approach. It explains the process of optimizing recursive algorithms by storing results and solving smaller sub-problems first. The instructor demonstrates how to apply these techniques to problems like rod cutting and the change-making problem, providing insights into time complexity and optimal solution reconstruction.

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Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_lhev9u0o

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Ontological neighbourhood

Theoretical computer science

Theory of computation: Computational complexity theory

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